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Show Results For
- All HBS Web
(1,779)
- People (9)
- News (319)
- Research (1,020)
- Events (12)
- Multimedia (10)
- Faculty Publications (839)
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- September 1972
- Article
An Analytical Derivation of the Efficient Portfolio Frontier
By: Robert C. Merton
Keywords: Investment
Merton, Robert C. "An Analytical Derivation of the Efficient Portfolio Frontier." Journal of Financial and Quantitative Analysis 10 (September 1972): 1851–1872.
- July 2015 (Revised October 2017)
- Case
Podium Data: Harnessing the Power of Big Data Analytics
By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)
- September 1985 (Revised August 1992)
- Background Note
Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)
Kaufmann, Patrick J. "Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)." Harvard Business School Background Note 586-056, September 1985. (Revised August 1992.)
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- April 1989
- Article
Untangling Unfamiliar 1988 Consolidated Statements: An Analytical Guide To Understanding
By: David F. Hawkins
- 1970
- Dissertation
Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics
By: Robert C. Merton
Merton, Robert C. "Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics." Diss., Massachusetts Institute of Technology (MIT), 1970.
- November 2019
- Teaching Note
TSG Hoffenheim: Football in the Age of Analytics (A) and (B)
By: Feng Zhu, Sascha L. Schmidt, Karim R. Lakhani and Shirley Sun
Teaching Note for HBS Nos. 616-010 and 620-055. View Details
- September 2019
- Case
Starling Trust Sciences: Measuring Trust in Organizations
By: Aiyesha Dey, Jonas Heese and James Weber
Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their... View Details
Keywords: Behavioral Analytics; Financial Institutions; Banks and Banking; Entrepreneurship; Strategy; Banking Industry; Consulting Industry; Information Technology Industry; United States; United Kingdom
Dey, Aiyesha, Jonas Heese, and James Weber. "Starling Trust Sciences: Measuring Trust in Organizations." Harvard Business School Case 120-006, September 2019.
- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- 01 Jan 1979
- Conference Presentation
Developing a Financial Planning Model for An Analytic Review: A Feasibility Study
By: Robert S. Kaplan
- March 2017 (Revised March 2022)
- Case
Flashion: Art vs. Science in Fashion Retailing
By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
- 1989
- Chapter
Analytic Themes of the U.S. Program on the Processes of International Negotiation
By: James K. Sebenius and Howard Raiffa
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- 2012
- Book
Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data
By: Thomas H. Davenport
This book, an edited collection of research papers from the International Institute of Analytics, addresses a wide variety of key topics in managing business analytics and big data at the enterprise level. It includes key applications of analytics, human and... View Details
Keywords: Business Analytics; Big Data; Business or Company Management; Analytics and Data Science; Management Practices and Processes; Mathematical Methods; Information Management
Davenport, Thomas H., ed. Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data. FT Press, 2012.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy